卷积神经网络在水泥熟料fCaO软测量中的应用

doi:10.19698/j.cnki.1001-6171.20205087

下载:

PDF (1435KB)
输出: BibTeX | EndNote (RIS)

摘要介绍了基于卷积神经网络开发的fCaO软测量软件。操作人员可以根据现场实际情况，选取与fCaO含量相关性较大的变量在软件中进行组态，用历史数据进行软测量模型的训练和测试，获得较好的软测量模型，预测实时的生产数据。在重庆某水泥厂的实际应用中，fCaO软测量软件的总体在线预测误差为4.57%，取得了较好效果。

	服务
	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	（）
	作者相关文章
	刘冲
	吕松彦
	郝晓辰

关键词: 水泥熟料fCaO 卷积神经网络软测量在线预测

Abstract: FCaO soft measurement software developed by convolutional neural network is introduced.According to the actual situation on site, operators can select variables that are more relevant to the content of fCaO for configuration in the software, and use historical data for training and testing of soft-sensing model to obtain a better soft-sensing model and predict real-time production data.According to the practical application of a cement plant in Chongqing, the overall online prediction error is 4.57%, and good results have been obtained.

Key words: free calcium in cement clinker convolutional neural network soft measuring online prediction

收稿日期: 2020-01-08 出版日期: 2020-09-25 发布日期: 2020-10-12 整期出版日期: 2020-09-25

ZTFLH:

TQ172.14

引用本文:

刘冲, 吕松彦, 郝晓辰. 卷积神经网络在水泥熟料fCaO软测量中的应用[J]. 水泥技术, 2020, 1(5): 87-91.
LIU Chong, LV Songyan, HAO Xiaochen.

Application of Convolutional Neural Network in Soft Measurement of Free Calcium in Cement Clinker

. Cement Technology, 2020, 1(5): 87-91.

链接本文:

http://www.cemteck.com/CN/10.19698/j.cnki.1001-6171.20205087 或 http://www.cemteck.com/CN/Y2020/V1/I5/87

[1]	马井雨, 周宗辉. 不同离子对水泥水化性能的影响[J]. 水泥技术, 2013, 1(5): 85-87.
[2]	邹立, 向凤英. 一次熟料游离氧化钙波动的分析 [J]. 水泥技术, 2011, 1(6): 49-51.
[3]	张永娟, 张雄. 煤矸石改善石灰石硅酸盐水泥耐蚀性的研究 [J]. 水泥技术, 2004, 1(4): 31-33.
[4]	温远伟, 李金华. 立窑水泥与超塑化剂相容性试验[J]. 水泥技术, 2002, 1(4): 84-85.

[1]	. Review and Prospect of Engineering Practice of Waste Disposal in Cement Kiln in China[J]. Cement Technology, 2018, 1(1): 17 -21 .
[2]	DI Dongren, TAO Congxi, CHAI Xingteng. Revision of Cement Energy Consumption Standards and Energy Saving Technology(Ⅰ)[J]. Cement Technology, 2018, 1(1): 22 -26 .
[3]	LIU Yonggang, GAO Hongwei, XIAO Guiqing. Design Method of Road Structure Using Lean Concrete Base[J]. Cement Technology, 2018, 1(1): 27 -31 .
[4]	LIU Xu, LI Liang. Investigation of New Medium Temperature Wear-resistant Alloy Steel[J]. Cement Technology, 2018, 1(1): 32 -34 .
[5]	MA Debao. Finite Element Analysis of Inverted Cone in Raw Meal Silo[J]. Cement Technology, 2018, 1(1): 35 -38 .
[6]	HAN Zhongqi. [J]. Cement Technology, 2018, 1(1): 38 -48 .
[7]	GUAN Laiqing, HE Yongxian. [J]. Cement Technology, 2018, 1(1): 54 -59 .
[8]	WEI Can, ZHANG Yuanyuan, AI Jun. Application of Cement Intelligent Control System in Overseas Projects[J]. Cement Technology, 2018, 1(1): 60 -64 .
[9]	JIN Shuang. [J]. Cement Technology, 2018, 1(1): 72 -73 .
[10]	WANG Qingjiang. Analysis on Mechanical Performance of Typical Joints in Tubular Frame Structure[J]. Cement Technology, 2018, 1(1): 83 -88 .